Evidence map›Paper›PMID 40511326›Full record

ArticleBMJ neurology open2025

Demographic and clinical characteristics of Guillain-Barré syndrome at Kenyatta National Hospital, Kenya.

Stephen Kivuva Muindi, Mohamed Onyango, Moses Muia Masika

Abstract read
In one paragraph

Article in BMJ neurology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stephen Kivuva MuindiMedicine and Surgery, University of Nairobi Faculty of Health Sciences, Nairobi, Nairobi, Kenya.ORCID 0009-0006-5714-3581
Mohamed OnyangoFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.ORCID 0000-0002-6201-7065
Moses Muia MasikaMedical Microbiology and Immunology, University of Nairobi, Nairobi, Kenya.ORCID 0000-0003-3385-0821

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Guillain-Barré Syndrome (GBS) is a life-threatening neurological disorder with limited data from sub-Saharan Africa. This study describes the clinical features, outcomes and predictors of mortality among GBS patients at Kenyatta National Hospital in Nairobi, Kenya. Methods: This cross-sectional study used retrospective data from patient files obtained from the Health Information Department from 2014 to 2023 on 207 GBS patients. A census of all available patient files meeting inclusion criteria was done. Demographic and clinical data were collected; descriptive and correlation analyses were performed using IBM SPSS Statistics V.25.0. Results: The male to female ratio was 1.01:1. The median age was 21 years. A quarter of cases were in the 0-5 years age group. HIV and hypertension were the most common comorbidities, particularly in females. Clinical manifestations included hyporeflexia, hypotonia and sensory loss. Significant morbidity was observed, with 25.7% experiencing respiratory complications and 35.4% requiring intensive care. Female patients had increased mortality risk (adjusted OR (aOR)=4.03, 95% CI: 1.15 to 14.11, p=0.029). HIV-positive females had over sevenfold higher odds of death (aOR 7.21, 95% CI: 1.56 to 33.36, p=0.011), while intravenous immunoglobulin (IVIg) use reduced mortality by 75% (aOR 0.25, 95% CI: 0.08 to 0.85, p=0.026). Conclusion: This study highlights GBS's demographic, clinical and outcome aspects in Kenya. GBS predominates in young individuals. Females experience higher comorbidity and mortality rates. Improving access to IVIg, intensive care unit and early supportive management is essential. Further research is needed to explore gender-based mortality differences and age-related morbidity variations.

Indexed as

AIDSAUTONOMICCLINICAL NEUROLOGYGUILLAIN-BARRE SYNDROMEPERIPHERAL NEUROPATHOLOGY

Identifiers

PMID40511326
PMCPMC12161362

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.